# coding=utf-8
# Copyright 2023 Authors of "A Watermark for Large Language Models"
# available at https://arxiv.org/abs/2301.10226
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from argparse import Namespace

args = Namespace()

arg_dict = {
    "run_gradio": True,
    "demo_public": False,
    # 'model_name_or_path': 'facebook/opt-125m',
    # 'model_name_or_path': 'facebook/opt-1.3b',
    # 'model_name_or_path': 'facebook/opt-2.7b',
    "model_name_or_path": "facebook/opt-6.7b",
    # 'model_name_or_path': 'facebook/opt-13b',
    # 'load_fp16' : True,
    "load_fp16": False,
    "prompt_max_length": None,
    "max_new_tokens": 200,
    "generation_seed": 123,
    "use_sampling": True,
    "n_beams": 1,
    "sampling_temp": 0.7,
    "use_gpu": True,
    "seeding_scheme": "simple_1",
    "gamma": 0.25,
    "delta": 2.0,
    "normalizers": "",
    "ignore_repeated_bigrams": False,
    "detection_z_threshold": 4.0,
    "select_green_tokens": True,
    "skip_model_load": False,
    "seed_separately": True,
}

args.__dict__.update(arg_dict)

from demo_watermark import main

main(args)
